- Removes the metrics modules from experimental now that it is migrated to py-ml-metrics package.
- Adds Constituent Flip Rate Metrics: SymmetricFlipRate, NegToNegFlipRate, NegToPosFlipRate, PosToNegFlipRate, PosToPosFlipRate.
- Depend on tensorflow-estimator package explicitly.
- Fix the bug about batching unsized numpy arrays.
- Removes
attrs
requirement. - Consolidate Matrix definition for semantic segmentation confusion matrix metrics.
- Provide AggregateFn and interface and default call impl to adapt TFMA metrics combiner for in-process call.
- Move Mean metrics from experimental to metrics.
- Fix the bug of size estimator failure.
- Depends on
tensorflow>=2.15.0,<2.16
. - Fix the failure in testMeanAttributions.
- Fix the input type mismatch in metric_specs_tests between bool and None.
- Fix the failure in the slice test due to beam type hints check.
- Fix the failure in metric_specs test, all TFMA deps on keras are keras 2.
- Depends on
apache-beam[gcp]>=2.53.0,<3
for Python 3.11 and onapache-beam[gcp]>=2.47.0,<3
for 3.9 and 3.10. - Depends on
protobuf>=4.25.2,<5
for Python 3.11 and onprotobuf>3.20.3,<5
for 3.9 and 3.10. - Update the minimum Bazel version required to build TFMA to 6.1.0
- Refactors BooleanFlipRates computations to a combiner (flip_counts) and a DerivedMetricComputation (flip_rates).
- Deprecated python 3.8 support.